bayesian framework

Reliable Post hoc Explanations: Modeling Uncertainty in Explainability NeurIPS 2021 Bayesian Hierarchical Dynamic Model for Human Action Recognition CVPR 2019 Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019 Variational Denoising Network: Toward Blind Noise Modeling and Removal NeurIPS 2019 Variational Few-Shot Learning ICCV 2019 3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces IJCAI 2018 Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments CoRL 2018 Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018 Model-Based Iterative Restoration for Binary Document Image Compression With Dictionary Learning CVPR 2017 MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation IJCAI 2017 Noise-Blind Image Deblurring CVPR 2017 Answer-Type Prediction for Visual Question Answering CVPR 2016 Conditional Graphical Lasso for Multi-Label Image Classification CVPR 2016 A Bayesian Framework for Modeling Confidence in Perceptual Decision Making NeurIPS 2015 Falling Rule Lists AISTATS 2015 Saliency Detection via Cellular Automata CVPR 2015 A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input NeurIPS 2014 Robust Principal Component Analysis with Complex Noise ICML 2014 A Joint Model for 2D and 3D Pose Estimation from a Single Image CVPR 2013 Gaussian Process Conditional Copulas with Applications to Financial Time Series NeurIPS 2013 Proportion Priors for Image Sequence Segmentation ICCV 2013 Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012 EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NeurIPS 2011 Sequential effects: Superstition or rational behavior? NeurIPS 2008 Bayesian Policy Gradient Algorithms NeurIPS 2006